mehrnooshbazrafkan/informationextraction

Information Extraction Resources

This repository provides resources for information extraction, including benchmark datasets, papers, tutorials, PhD theses, and framework tools.

##Tutorials about Information Extraction

1. Overviews from TAC-KBP
   [website]

2. **

Survey papers about Information Extracion

(ordered by year)

1. A Survey of Deep Learning Methods for Relation Extraction
   [paper]
   Shantanu Kumar, arXiv-2017.

2. Relation Extraction: A Survey
   [paper]
   Sachin Pawar | Girish K. Palshikar | Pushpak Bhattacharyya, arXiv-2017.

3. **

Frameworks or Tools for Information Extraction

1. Jet: Java Extraction Tookit
   [website]

2. OpenNRE: Open-Source Package for Neural Relation Extraction
   [website]

3. Standford Named Entity Recognizer
   [website]

4. Stanford Relation Extractor
   [website]

5. Stanford Open Information Extraction
   [website]

6. Distantly Supervised Relation Extraction
   [website]

7. InfoExtractor: Information Extraction Baseline System
   [website]

8. Information Extraction Systems from Blender Lab
   [website]

Datasets for Information Extraction

1. Datasets for Entity Recognition
   [website]

2. 15 Free Datasets and Corpora for Named Entity Recognition (NER)
   [website]

3. Datasets of Annotated Semantic Relationships
   [website]

4. Open Information Extraction (OIE) Resources
   [website]

PhD theses about Information Extraction

(ordered by year)

1. Deep Learning for Information Extraction
   [thesis]
   Thien Huu Nguyen, advisor: Ralph Grishman, New York University, 2018.

2. Unsupervised Graph-Based Relation Extraction and Validation for Knowledge Base Population
   [thesis]
   Dian Yu, advisor: Heng ji, Rensselaer Polytechnic Institute, 2017.

3. Jointly Learning Representations for Low-Resource Information Extraction
   [thesis]
   Nanyun Peng, advisor: Mark Dredze, Johns Hopkins University, 2017.

4. Information extraction with neural networks
   [thesis]
   Ji Young Lee, advisor: Peter Szolovits, Massachusetts Institute of Technology,2017.

5. Large-Scale Semantic Relationship Extraction for Information Discovery
   [thesis][slides]
   David Soares Batista, advisor: M´ario Jorge Costa Gaspar da Silva, University of Lisbon, 2016.

6. Web Relation Extraction with Distant Supervision
   [thesis]
   Isabelle Augenstein, advisor: Fabio Ciravegna and Diana Maynard, University of Sheffield, 2016.

7. Joint Information Extraction
   [thesis][slides]
   Qi Li, advisor: Heng ji, Rensselaer Polytechnic Institute, 2015.

8. Distantly Supervised Information Extraction Using Bootstraped Patterns
   [thesis]
   Sonal Gupta, Advisor: Christopher Manning, STanford University, 2015.

9. Open Information Extraction for the Web
   [thesis]
   Michele Banko, Advisor: Oren Etzioni, University of Washington, 2009.

Papers about Information Extraction (since 2010-)

(ordered by year)

2019-NER

1. A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
   [paper]
   Genady Beryozkin | Yoel Drori | Oren Gilon | Tzvika Hartman | Idan Szpektor, ACL-2019.

2. Joint Entity Extraction and Assertion Detection for Clinical Text
   [paper]
   Parminder Bhatia | Busra Celikkaya | Mohammed Khalilia, ACL-short-2019.

3. Multi-grained Named Entity Recognition
   [paper]
   Congying Xia | Chenwei Zhang | Tao Yang | Yaliang Li | Nan Du | Xian Wu | Wei Fan | Fenglong Ma | Philip Yu, ACL-2019.

4. Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
   [paper][code]
   Minlong Peng | Xiaoyu Xing | Qi Zhang | Jinlan Fu | Xuanjing Huang, ACL-2019.

5. Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
   [paper]
   Joey Tianyi Zhou | Hao Zhang | Di Jin | Hongyuan Zhu | Meng Fang | Rick Siow Mong Goh | Kenneth Kwok, ACL-2019.

6. NNE: A Dataset for Nested Named Entity Recognition in English Newswire
   [paper][data]
   Nicky Ringland | Xiang Dai | Ben Hachey | Sarvnaz Karimi | Cecile Paris | James R. Curran, ACL-short-2019.

7. Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
   [paper][code]
   Hongyu Lin | Yaojie Lu | Xianpei Han | Le Sun, ACL-2019.

8. Towards Improving Neural Named Entity Recognition with Gazetteers
   [paper][code]
   Tianyu Liu | Jin-Ge Yao | Chin-Yew Lin, ACL-short-2019.

9. A Prism Module for Semantic Disentanglement in Name Entity Recognition
   [paper][code]
   Kun Liu | Shen Li | Daqi Zheng | Zhengdong Lu | Sheng Gao | Si Li, ACL-short-2019.

10. A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition
    [paper]
    Ravneet Arora | Chen-Tse Tsai | Ketevan Tsereteli | Prabhanjan Kambadur | Yi Yang, ACL-short-2019.

11. A Boundary-aware Neural Model for Nested Named Entity Recognition
    [paper][code]
    Changmeng Zheng | Yi Cai | Jingyun Xu | Ho-fung Leung | Guandong Xu, EMNLP-2019.

12. Similarity Based Auxiliary Classifier for Named Entity Recognition
    [paper][code]
    Shiyuan Xiao | Yuanxin Ouyang | Wenge Rong | Jianxin Yang | Zhang Xiong, EMNLP-2019.

13. Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
    [paper][code]
    Genta Indra Winata | Zhaojiang Lin | Jamin Shin | Zihan Liu | Pascale Fung, EMNLP-short-2019.

14. Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition
    [paper]
    Yufan Jiang | Chi Hu | Tong Xiao | Chunliang Zhang | Jingbo Zhu, EMNLP-short-2019.

15. Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
    [paper][code]
    Dianbo Sui | Yubo Chen | Kang Liu | Jun Zhao | Shengping Liu, EMNLP-2019.

16. Dependency-Guided LSTM-CRF for Named Entity Recognition
    [paper][code]
    Zhanming Jie | Wei Lu, EMNLP-2019.

17. A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers [paper][code]
    Aditi Chaudhary | Jiateng Xie | Zaid Sheikh | Graham Neubig | Jaime Carbonell, EMNLP-2019.

18. Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
    [paper]
    Hongyu Lin | Yaojie Lu | Xianpei Han | Le Sun | Bin Dong | Shanshan Jiang, EMNLP-short-2019.

19. Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing
    [paper]
    Taiki Watanabe | Akihiro Tamura | Takashi Ninomiya | Takuya Makino | Tomoya Iwakura, EMNLP-short-2019.

20. Weakly Supervised Attention Networks for Entity Recognition
    [paper][code]
    Barun Patra | Joel Ruben Antony Moniz, EMNLP-short-2019.

21. What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
    [paper]
    Xiaolei Huang | Jonathan May | Nanyun Peng, EMNLP-short-2019.

22. Entity Recognition at First Sight: Improving NER with Eye Movement Information
    [paper][data]
    Nora Hollenstein | Ce Zhang, NAACL-2019.

23. Pooled Contextualized Embeddings for Named Entity Recognition
    [paper]
    Alan Akbik | Tanja Bergmann | Roland Vollgraf, NAACL-short-2019.

24. Better Modeling of Incomplete Annotations for Named Entity Recognition
    [paper][code and data]
    Zhanming Jie | Pengjun Xie | Wei Lu | Ruixue Ding | Linlin Li, NAACL-short-2019.

25. Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition
    [paper]
    Angli Liu | Jingfei Du | Veselin Stoyanov, NAACL-2019.

26. Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities
    [paper][code]
    Alexander Erdmann | David Joseph Wrisley | Benjamin Allen | Christopher Brown | Sophie Cohen-Bodénès | Micha Elsner | Yukun Feng | Brian Joseph | Béatrice Joyeux-Prunel | Marie-Catherine de Marneffe, NAACL-2019.

27. CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
    [paper]
    Yuying Zhu | Guoxin Wang, NAACL-2019.

28. Cross-lingual Transfer Learning for Japanese Named Entity Recognition
    [paper]
    Andrew Johnson | Penny Karanasou | Judith Gaspers | Dietrich Klakow, NAACL-Industry track-2019.

2019-RE

1. Neural Relation Extraction for Knowledge Base Enrichment
   [paper][code and data]
   Bayu Distiawan Trisedya | Gerhard Weikum | Jianzhong Qi | Rui Zhang, ACL-2019.

2. Attention Guided Graph Convolutional Networks for Relation Extraction
   [paper][code]
   Zhijiang Guo | Yan Zhang | Wei Lu, ACL-2019.

3. DocRED: A Large-Scale Document-Level Relation Extraction Dataset
   [paper][code and data]
   Yuan Yao | Deming Ye | Peng Li | Xu Han | Yankai Lin | Zhenghao Liu | Zhiyuan Liu | Lixin Huang | Jie Zhou | Maosong Sun, ACL-2019.

4. Graph Neural Networks with Generated Parameters for Relation Extraction
   [paper][code and data]
   Hao Zhu | Yankai Lin | Zhiyuan Liu | Jie Fu | Tat-Seng Chua | Maosong Sun, ACL-2019.

5. Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
   [paper]
   Wei Ye | Bo Li | Rui Xie | Zhonghao Sheng | Long Chen | Shikun Zhang, ACL-2019.

6. Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
   [paper][code]
   Haoyu Wang | Ming Tan | Mo Yu | Shiyu Chang | Dakuo Wang | Kun Xu | Xiaoxiao Guo | Saloni Potdar, ACL-short-2019.

7. Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
   [paper][code]
   Christoph Alt | Marc Hübner | Leonhard Hennig, ACL-2019.

8. ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification
   [paper][data]
   Wei Jia | Dai Dai | Xinyan Xiao | Hua Wu, ACL-2019

9. DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
   [paper][code and data]
   Shun Zheng | Xu Han | Yankai Lin | Peilin Yu | Lu Chen | Ling Huang | Zhiyuan Liu | Wei Xu, ACL-2019.

10. Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
    [paper][code]
    Zhi-Xiu Ye | Zhen-Hua Ling, ACL-2019.

11. Fine-Grained Temporal Relation Extraction
    [paper]
    Siddharth Vashishtha | Benjamin Van Durme | Aaron Steven White, ACL-2019.

12. Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
    [paper][data]
    Sunil Kumar Sahu | Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou, ACL-short-2019.

13. Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge
    [paper][code]
    Ziran Li | Ning Ding | Zhiyuan Liu | Haitao Zheng | Ying Shen, ACL-2019.

14. Span-Level Model for Relation Extraction
    [paper]
    Kalpit Dixit | Yaser Al-Onaizan, ACL-short-2019.

15. Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision
    [paper]
    Abiola Obamuyide | Andreas Vlachos, ACL-short-2019.

16. Leveraging Dependency Forest for Neural Medical Relation Extraction
    [paper]
    Linfeng Song | Yue Zhang | Daniel Gildea | Mo Yu | Zhiguo Wang | jinsong su, EMNLP-2019.

17. Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
    [paper][code]
    Ruidong Wu | Yuan Yao | Xu Han | Ruobing Xie | Zhiyuan Liu | Fen Lin | Leyu Lin | Maosong Sun, EMNLP-2019.

18. Improving Relation Extraction with Knowledge-attention
    [paper]
    Pengfei Li | Kezhi Mao | Xuefeng Yang | Qi Li, EMNLP-2019.

19. Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
    [paper]
    Yuyun Huang | Jinhua Du, EMNLP-2019.

20. Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
    [paper]
    Jian Ni | Radu Florian, EMNLP-2019.

21. Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
    [paper][code and data]
    xiang deng | Huan Sun, EMNLP-2019.

22. Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
    [paper]
    Linmei Hu | Luhao Zhang | Chuan Shi | Liqiang Nie | Weili Guan | Cheng Yang, EMNLP-2019.

23. Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
    [paper][code]
    Qinyuan Ye | Liyuan Liu | Maosen Zhang | Xiang Ren, EMNLP-2019.

24. Easy First Relation Extraction with Information Redundancy
    [paper]
    Shuai Ma | Gang Wang | Yansong Feng | Jinpeng Huai, EMNLP-2019.

25. Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction
    [paper][code]
    Sahil Garg | Aram Galstyan | Greg Ver Steeg | Guillermo Cecchi, EMNLP-2019.

26. Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
    [paper][code]
    Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou, EMNLP-2019.

27. An Improved Neural Baseline for Temporal Relation Extraction
    [paper]
    Qiang Ning | Sanjay Subramanian | Dan Roth, EMNLP-short-2019.

28. Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas
    [paper][code and data]
    Kosuke Akimoto | Takuya Hiraoka | Kunihiko Sadamasa | Mathias Niepert, EMNLP-short-2019.

29. FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
    [paper][code and data]
    Tianyu Gao | Xu Han | Hao Zhu | Zhiyuan Liu | Peng Li | Maosong Sun | Jie Zhou, EMNLP-short-2019.

30. OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
    [paper][code]
    Xu Han | Tianyu Gao | Yuan Yao | Deming Ye | Zhiyuan Liu | Maosong Sun, EMNLP-short-2019.

31. UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering
    [paper]
    Zi-Yuan Chen | Chih-Hung Chang | Yi-Pei Chen | Jijnasa Nayak | Lun-Wei Ku, NAACL-2019.

32. Sentence Embedding Alignment for Lifelong Relation Extraction
    [paper][code and data]
    Hong Wang | Wenhan Xiong | Mo Yu | Xiaoxiao Guo | Shiyu Chang | William Yang Wang, NAACL-2019.

33. Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision
    [paper][code and data]
    Jianhao Yan | Lin He | Ruqin Huang | Jian Li | Ying Liu, NAACL-2019.

34. Relation Extraction using Explicit Context Conditioning
    [paper]
    Gaurav Singh | Parminder Bhatia, NAACL-short-2019.

35. Combining Distant and Direct Supervision for Neural Relation Extraction
    [paper][code]
    Iz Beltagy | Kyle Lo | Waleed Ammar, NAACL-2019.

36. Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN
    [paper]
    Van-Hien Tran | Van-Thuy Phi | Hiroyuki Shindo | Yuji Matsumoto, NAACL-2019.

37. Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
    [paper][code] Zhi-Xiu Ye | Zhen-Hua Ling, NAACL-2019.

38. A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction
    [paper][code] Duy-Cat Can | Hoang-Quynh Le | Quang-Thuy Ha | Nigel Collier, NAACL-2019.

39. Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
    [paper]
    Ningyu Zhang | Shumin Deng | Zhanlin Sun | Guanying Wang | Xi Chen | Wei Zhang | Huajun Chen, NAACL-2019.

40. GAN Driven Semi-distant Supervision for Relation Extraction
    [paper]
    Pengshuai Li | Xinsong Zhang | Weijia Jia | Hai Zhao, NAACL-2019.

41. Structured Minimally Supervised Learning for Neural Relation Extraction
    [paper][code and data]
    Fan Bai | Alan Ritter, NAACL-2019.

42. Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction
    [paper][code]
    Peng Xu | Denilson Barbosa, NAACL-short-2019.

43. Exploiting Noisy Data in Distant Supervision Relation Classification
    [paper]
    Kaijia Yang | Liang He | Xin-yu Dai | Shujian Huang | Jiajun Chen, NAACL-2019.

44. Document-Level N-ary Relation Extraction with Multiscale Representation Learning
    [paper]
    Robin Jia | Cliff Wong | Hoifung Poon, NAACL-2019.

2018-NER

1. A Study of the Importance of External Knowledge in the Named Entity Recognition Task
   [paper]
   Dominic Seyler | Tatiana Dembelova | Luciano Del Corro | Johannes Hoffart | Gerhard Weikum, ACL-short-2018.

2. A Named Entity Recognition Shootout for German
   [paper]
   Martin Riedl | Sebastian Padó, ACL-short-2018.

3. Named Entity Recognition With Parallel Recurrent Neural Networks
   [paper]
   Andrej Žukov-Gregorič | Yoram Bachrach | Sam Coope, ACL-short-2018.

4. Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
   [paper][code]
   Pengfei Cao | Yubo Chen | Kang Liu | Jun Zhao | Shengping Liu, EMNLP-2018.

5. Neural Cross-Lingual Named Entity Recognition with Minimal Resources
   [paper][code]
   Jiateng Xie | Zhilin Yang | Graham Neubig | Noah A. Smith | Jaime Carbonell, EMNLP-2018.

6. Neural Adaptation Layers for Cross-domain Named Entity Recognition
   [paper][code]
   Bill Yuchen Lin | Wei Lu, EMNLP-2018.

7. Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
   [paper]
   Nathan Greenberg | Trapit Bansal | Patrick Verga | Andrew McCallum, EMNLP-short-2018.

8. Deep Exhaustive Model for Nested Named Entity Recognition
   [paper]
   Mohammad Golam Sohrab | Makoto Miwa, EMNLP-short-2018.

9. On the Strength of Character Language Models for Multilingual Named Entity Recognition
   [paper]
   Xiaodong Yu | Stephen Mayhew | Mark Sammons | Dan Roth, EMNLP-short-2018.

10. A Practical Incremental Learning Framework For Sparse Entity Extraction
    [paper][code]
    Hussein Al-Olimat | Steven Gustafson | Jason Mackay | Krishnaprasad Thirunarayan | Amit Sheth, Coling-2018.

11. An Empirical Study on Fine-Grained Named Entity Recognition
    [paper][data]
    Khai Mai | Thai-Hoang Pham | Minh Trung Nguyen | Tuan Duc Nguyen | Danushka Bollegala | Ryohei Sasano | Satoshi Sekine, Coling-2018.

12. Robust Lexical Features for Improved Neural Network Named-Entity Recognition
    [paper]
    Abbas Ghaddar | Phillippe Langlais, Coling-2018.

13. Transfer Learning for Entity Recognition of Novel Classes
    [paper][code]
    Juan Diego Rodriguez | Adam Caldwell | Alexander Liu, Coling-2018.

14. Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
    [paper][code]
    Onur Güngör | Suzan Uskudarli | Tunga Güngör, Coling-2018.

15. A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
    [paper]
    Vikas Yadav | Steven Bethard, Coling-2018.

16. Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models
    [paper]
    Lingzhen Chen | Alessandro Moschitti, Coling-2018.

17. Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
    [paper]
    Zhenghui Wang | Yanru Qu | Liheng Chen | Jian Shen | Weinan Zhang | Shaodian Zhang | Yimei Gao | Gen Gu | Ken Chen | Yong Yu, NAACL-2018.

18. Multimodal Named Entity Recognition for Short Social Media Posts
    [paper]
    Seungwhan Moon | Leonardo Neves | Vitor Carvalho, NAACL-2018.

19. Nested Named Entity Recognition Revisited
    [paper]
    Arzoo Katiyar | Claire Cardie, NAACL-2018.

20. Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
    [paper]
    Gustavo Aguilar | Adrian Pastor López-Monroy | Fabio González | Thamar Solorio, NAACL-2018.

21. A Neural Layered Model for Nested Named Entity Recognition
    [paper][code]
    Meizhi Ju | Makoto Miwa | Sophia Ananiadou, NAACL-2018.

22. Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding
    [paper]
    Huasha Zhao | Yi Yang | Qiong Zhang | Luo Si, NAACL-short-2018.

2018-RE

1. DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
   [paper]
   Pengda Qin | Weiran Xu | William Yang Wang, ACL-2018.

2. Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
   [paper] Pengda Qin | Weiran Xu | William Yang Wang, ACL-2018.

3. A Walk-based Model on Entity Graphs for Relation Extraction
   [paper]
   Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou, ACL-short-2018.

4. Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction
   [paper][data]
   Van-Thuy Phi | Joan Santoso | Masashi Shimbo | Yuji Matsumoto, ACL-2018.

5. Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
   [paper]
   Ningyu Zhang | Shumin Deng | Zhanling Sun | Xi Chen | Wei Zhang | Huajun Chen, EMNLP-short-2018.

6. Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction
   [paper]
   Ge Shi | Chong Feng | Lifu Huang | Boliang Zhang | Heng Ji | Lejian Liao | Heyan Huang, EMNLP-short-2018.

7. RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
   [paper]
   Shikhar Vashishth | Rishabh Joshi | Sai Suman Prayaga | Chiranjib Bhattacharyya | Partha Talukdar, EMNLP-2018.

8. Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
   [paper]
   Tianyi Liu | Xinsong Zhang | Wanhao Zhou | Weijia Jia, EMNLP-2018.

9. Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
   [paper]
   Yuhao Zhang | Peng Qi | Christopher D. Manning, EMNLP-2018.

10. Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
    [paper]
    Jinhua Du | Jingguang Han | Andy Way | Dadong Wan, EMNLP-2018.

11. N-ary Relation Extraction using Graph-State LSTM
    [paper][code]
    Linfeng Song | Yue Zhang | Zhiguo Wang | Daniel Gildea, EMNLP-2018.

12. Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
    [paper]
    Guanying Wang | Wen Zhang | Ruoxu Wang | Yalin Zhou | Xi Chen | Wei Zhang | Hai Zhu | Huajun Chen, EMNLP-2018.

13. Large-scale Exploration of Neural Relation Classification Architectures
    [paper][code and data]
    Hoang-Quynh Le | Duy-Cat Can | Sinh T. Vu | Thanh Hai Dang | Mohammad Taher Pilehvar | Nigel Collier, EMNLP-2018.

14. FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
    [paper][data]
    Xu Han | Hao Zhu | Pengfei Yu | Ziyun Wang | Yuan Yao | Zhiyuan Liu | Maosong Sun, EMNLP-2018.

15. Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition
    [paper]
    Yu Hong | Yang Xu | Huibin Ruan | Bowei Zou | Jianmin Yao | Guodong Zhou, Coling-2018.

16. Cooperative Denoising for Distantly Supervised Relation Extraction
    [paper]
    Kai Lei | Daoyuan Chen | Yaliang Li | Nan Du | Min Yang | Wei Fan | Ying Shen, Coling-2018.

17. Adversarial Feature Adaptation for Cross-lingual Relation Classification
    [paper]
    Bowei Zou | Zengzhuang Xu | Yu Hong | Guodong Zhou, Coling-2018.

18. Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences
    [paper]
    Shiou Tian Hsu | Mandar Chaudhary | Nagiza Samatova, Coling-2018.

19. Adversarial Multi-lingual Neural Relation Extraction
    [paper][code]
    Xiaozhi Wang | Xu Han | Yankai Lin | Zhiyuan Liu | Maosong Sun, Coling-2018.

20. Neural Relation Classification with Text Descriptions
    [paper]
    Feiliang Ren | Di Zhou | Zhihui Liu | Yongcheng Li | Rongsheng Zhao | Yongkang Liu | Xiaobo Liang, Coling-2018.

21. Exploratory Neural Relation Classification for Domain Knowledge Acquisition
    [paper]
    Yan Fan | Chengyu Wang | Xiaofeng He, Coling-2018.

22. Word-Level Loss Extensions for Neural Temporal Relation Classification
    [paper]
    Artuur Leeuwenberg | Marie-Francine Moens, Coling-2018.

23. Joint Bootstrapping Machines for High Confidence Relation Extraction
    [paper][code]
    Pankaj Gupta | Benjamin Roth | Hinrich Schütze, NAACL-2018.

24. Global Relation Embedding for Relation Extraction
    [paper]
    Yu Su | Honglei Liu | Semih Yavuz | Izzeddin Gür | Huan Sun | Xifeng Yan, NAACL-2018.

25. Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
    [paper]
    Qiang Ning | Hao Wu | Haoruo Peng | Dan Roth, NAACL-2018.

26. Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
    [paper][code and data]
    Patrick Verga | Emma Strubell | Andrew McCallum, NAACL-2018.

27. Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text
    [paper][data]
    Ji Wen | Xu Sun | Xuancheng Ren | Qi Su, NAACL-short-2018.

28. Visually Guided Spatial Relation Extraction from Text
    [paper]
    Taher Rahgooy | Umar Manzoor | Parisa Kordjamshidi, NAACL-short-2018.

2017-NER

1. A Local Detection Approach for Named Entity Recognition and Mention Detection
   [paper][code]
   Mingbin Xu | Hui Jiang | Sedtawut Watcharawittayakul, ACL-2017.

2. Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
   [paper]
   Jian Ni | Georgiana Dinu | Radu Florian, ACL-2017.

3. Cheap Translation for Cross-Lingual Named Entity Recognition
   [paper]
   Stephen Mayhew | Chen-Tse Tsai | Dan Roth, EMNLP-2017.

4. Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks
   [paper]
   Peng-Hsuan Li | Ruo-Ping Dong | Yu-Siang Wang | Ju-Chieh Chou | Wei-Yun Ma, EMNLP-short-2017.

5. Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
   [paper][code]
   Emma Strubell | Patrick Verga | David Belanger | Andrew McCallum, EMNLP-2017.

6. NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
   [paper][code]
   Franck Dernoncourt | Ji Young Lee | Peter Szolovits, EMNLP-short-2017.

2017-RE

1. Neural Relation Extraction with Multi-lingual Attention
   [paper][code]
   Yankai Lin | Zhiyuan Liu | Maosong Sun, ACL-2017.

2. Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
   [paper]
   Bingfeng Luo | Yansong Feng | Zheng Wang | Zhanxing Zhu | Songfang Huang | Rui Yan | Dongyan Zhao, ACL-2017.

3. Improved Neural Relation Detection for Knowledge Base Question Answering
   [paper]
   Mo Yu | Wenpeng Yin | Kazi Saidul Hasan | Cicero dos Santos | Bing Xiang | Bowen Zhou, ACL-2017.

4. Jointly Extracting Relations with Class Ties via Effective Deep Ranking
   [paper]
   Hai Ye | Wenhan Chao | Zhunchen Luo | Zhoujun Li, ACL-2017.

5. Self-Crowdsourcing Training for Relation Extraction
   [paper]
   Azad Abad | Moin Nabi | Alessandro Moschitti, ACL-short-2017.

6. Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
   [paper][code]
   Liyuan Liu | Xiang Ren | Qi Zhu | Shi Zhi | Huan Gui | Heng Ji | Jiawei Han, EMNLP-2017.

7. End-to-End Neural Relation Extraction with Global Optimization
   [paper][code]
   Meishan Zhang | Yue Zhang | Guohong Fu, EMNLP-2017.

8. Incorporating Relation Paths in Neural Relation Extraction
   [paper][code]
   Wenyuan Zeng | Yankai Lin | Zhiyuan Liu | Maosong Sun, EMNLP-2017.

9. Adversarial Training for Relation Extraction
   [paper]
   Yi Wu | David Bamman | Stuart Russell, EMNLP-short-2017.

10. Context-Aware Representations for Knowledge Base Relation Extraction
    [paper]
    Daniil Sorokin | Iryna Gurevych, EMNLP-short-2017.

11. A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction
    [paper]
    Tianyu Liu | Kexiang Wang | Baobao Chang | Zhifang Sui, EMNLP-short-2017.

12. Deep Residual Learning for Weakly-Supervised Relation Extraction
    [paper]
    Yi Yao Huang | William Yang Wang, EMNLP-short-2017.

13. Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective
    [paper]
    Qing Zhang | Houfeng Wang, EMNLP-short-2017.

14. Learning Fine-grained Relations from Chinese User Generated Categories
    [paper]
    Chengyu Wang | Yan Fan | Xiaofeng He | Aoying Zhou, EMNLP-2017.

2016-NER

1. Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
   [paper]
   Nanyun Peng | Mark Dredze, ACL-short-2016.

2. Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks
   [paper]
   Suzushi Tomori | Takashi Ninomiya | Shinsuke Mori, ACL-short-2016.

3. Bootstrapped Text-level Named Entity Recognition for Literature
   [paper]
   Julian Brooke | Adam Hammond | Timothy Baldwin, ACL-short-2016.

4. Named Entity Recognition for Novel Types by Transfer Learning
   [paper]
   Lizhen Qu | Gabriela Ferraro | Liyuan Zhou | Weiwei Hou | Timothy Baldwin, EMNLP-short-2016.

5. Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping [paper]
   Jian Ni | Radu Florian, EMNLP-2016.

6. Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
   [paper]
   Akash Bharadwaj | David Mortensen | Chris Dyer | Jaime Carbonell, EMNLP-2016.

7. CharNER: Character-Level Named Entity Recognition
   [paper]
   Onur Kuru | Ozan Arkan Can | Deniz Yuret, Coling-2016.

8. Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik
   [paper]
   Patrick Littell | Kartik Goyal | David R. Mortensen | Alexa Little | Chris Dyer | Lori Levin, Coling-2016.

9. Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
   [paper][data]
   Leon Derczynski | Kalina Bontcheva | Ian Roberts, Coling-2016.

10. An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition
    [paper]
    Wencan Luo | Fan Yang, NAACL-2016.

11. Neural Architectures for Named Entity Recognition
    [paper][code1][code2]
    Guillaume Lample | Miguel Ballesteros | Sandeep Subramanian | Kazuya Kawakami | Chris Dyer, NAACL-2016.

2016-RE

1. Bidirectional Recurrent Convolutional Neural Network for Relation Classification
   [paper]
   Bidirectional Recurrent Convolutional Neural Network for Relation Classification, ACL-2016.

2. End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
   [paper]
   Makoto Miwa | Mohit Bansal, ACL-2016.

3. Relation Classification via Multi-Level Attention CNNs
   [paper]
   Linlin Wang | Zhu Cao | Gerard de Melo | Zhiyuan Liu, ACL-2016.

4. Neural Relation Extraction with Selective Attention over Instances
   [paper][code]
   Yankai Lin | Shiqi Shen | Zhiyuan Liu | Huanbo Luan | Maosong Sun, ACL-2016.

5. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
   [paper]
   Peng Zhou | Wei Shi | Jun Tian | Zhenyu Qi | Bingchen Li | Hongwei Hao | Bo Xu， ACL-2016.

6. A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification
   [paper]
   Yunlun Yang | Yunhai Tong | Shulei Ma | Zhi-Hong Deng, EMNLP-2016.

7. A Unified Architecture for Semantic Role Labeling and Relation Classification
   [paper]
   Jiang Guo | Wanxiang Che | Haifeng Wang | Ting Liu | Jun Xu, Coling-2016.

8. Improved relation classification by deep recurrent neural networks with data augmentation
   [paper]
   Yan Xu | Ran Jia | Lili Mou | Ge Li | Yunchuan Chen | Yangyang Lu | Zhi Jin, Coling-2016.

9. Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks
   [paper]
   Xiaotian Jiang | Quan Wang | Peng Li | Bin Wang, Coling-2016.

10. Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
    [paper]
    Jianfei Yu | Jing Jiang, Coling-2016.

11. Combining Recurrent and Convolutional Neural Networks for Relation Classification
    [paper]
    Ngoc Thang Vu | Heike Adel | Pankaj Gupta | Hinrich Schütze, NAACL-short-2016.

12. Multilingual Relation Extraction using Compositional Universal Schema
    [paper]
    Patrick Verga | David Belanger | Emma Strubell | Benjamin Roth | Andrew McCallum, NAACL-2016.

13. Effective Crowd Annotation for Relation Extraction
    [paper]
    Angli Liu | Stephen Soderland | Jonathan Bragg | Christopher H. Lin | Xiao Ling | Daniel S. Weld, NAACL-2016.

2015-NER

1. Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification
   [paper]
   Audi Primadhanty | Xavier Carreras | Ariadna Quattoni, ACL-2015.

2. Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words
   [paper]
   Chen Li | Yang Liu, ACL-2015.

3. Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora
   [paper]
   Ayah Zirikly | Masato Hagiwara, ACL-short-2015.

4. Named entity recognition with document-specific KB tag gazetteers
   [paper]
   Will Radford | Xavier Carreras | James Henderson, EMNLP-short-2015.

5. Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
   [paper]
   Nanyun Peng | Mark Dredze, EMNLP-short-2015.

6. The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition
   [paper]
   Colin Cherry | Hongyu Guo, NAACL-2105.

7. Distributed Representations of Words to Guide Bootstrapped Entity Classifiers
   [paper]
   Sonal Gupta | Christopher D. Manning, NAACL-short-2015.

8. Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition
   [paper]
   Yudong Liu | Clinton Burkhart | James Hearne | Liang Luo, NAACL-short-2019.

2015-RE

1. Classifying Relations by Ranking with Convolutional Neural Networks
   [paper]
   Cícero dos Santos | Bing Xiang | Bowen Zhou, ACL-2015.

2. Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
   [paper]
   Thien Huu Nguyen | Barbara Plank | Ralph Grishman, ACL-2015.

3. A Dependency-Based Neural Network for Relation Classification
   [paper]
   Yang Liu | Furu Wei | Sujian Li | Heng Ji | Ming Zhou | Houfeng Wang, ACL-short-2015.

4. Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
   [paper]
   Kun Xu | Yansong Feng | Songfang Huang | Dongyan Zhao, EMNLP-short-2015.

5. Inferring Binary Relation Schemas for Open Information Extraction
   [paper]
   Kangqi Luo | Xusheng Luo | Kenny Zhu, EMNLP-short-2015.

6. Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning
   [paper]
   Isabelle Augenstein | Andreas Vlachos | Diana Maynard, EMNLP-2015.

7. Sieve-Based Spatial Relation Extraction with Expanding Parse Trees
   [paper]
   Jennifer D’Souza | Vincent Ng, EMNLP-2015.

8. Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
   [paper]
   Daojian Zeng | Kang Liu | Yubo Chen | Jun Zhao, EMNLP-2015.

9. CORE: Context-Aware Open Relation Extraction with Factorization Machines
   [paper]
   Fabio Petroni | Luciano Del Corro | Rainer Gemulla, EMNLP-2015.

10. Improved Relation Extraction with Feature-Rich Compositional Embedding Models
    [paper]
    Matthew R. Gormley | Mo Yu | Mark Dredze, EMNLP-2015.

11. Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths
    [paper]
    Yan Xu | Lili Mou | Ge Li | Yunchuan Chen | Hao Peng | Zhi Jin, EMNLP-2015.

12. Optimizing Multivariate Performance Measures for Learning Relation Extraction Models
    [paper]
    Gholamreza Haffari | Ajay Nagesh | Ganesh Ramakrishnan, NAACL-2019.

13. Injecting Logical Background Knowledge into Embeddings for Relation Extraction
    [paper]
    Tim Rocktäschel | Sameer Singh | Sebastian Riedel, NAACL-2019.

14. Chain Based RNN for Relation Classification
    [[paper]]
    Javid Ebrahimi | Dejing Dou, NAACL-short-2019.

15. Multilingual Open Relation Extraction Using Cross-lingual Projection
    [paper]
    Manaal Faruqui | Shankar Kumar, NAACL-short-2015.

16. Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
    [paper][code]
    Mo Yu | Matthew R. Gormley | Mark Dredze, NAACL-short-2015.

2014-NER

1. Zero-shot Entity Extraction from Web Pages
   [paper]
   Panupong Pasupat | Percy Liang, ACL-2014.

2. A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition
   [paper]
   Fahd Alotaibi | Mark Lee, Coling-2014.

2014-RE

1. Omni-word Feature and Soft Constraint for Chinese Relation Extraction
   [paper]
   Yanping Chen | Qinghua Zheng | Wei Zhang, ACL-2014.

2. Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora
   [paper]
   Longhua Qian | Haotian Hui | Ya’nan Hu | Guodong Zhou | Qiaoming Zhu, ACL-2014.

3. Robust Domain Adaptation for Relation Extraction via Clustering Consistency
   [paper]
   Minh Luan Nguyen | Ivor W. Tsang | Kian Ming A. Chai | Hai Leong Chieu, ACL-2014.

4. Encoding Relation Requirements for Relation Extraction via Joint Inference
   [paper]
   Liwei Chen | Yansong Feng | Songfang Huang | Yong Qin | Dongyan Zhao, ACL-2014.

5. Medical Relation Extraction with Manifold Models
   [paper]
   Chang Wang | James Fan, ACL-2014.

6. Distant Supervision for Relation Extraction with Matrix Completion
   [paper]
   Miao Fan | Deli Zhao | Qiang Zhou | Zhiyuan Liu | Thomas Fang Zheng | Edward Y. Chang, ACL-2014.

7. A Feature-Enriched Tree Kernel for Relation Extraction
   [paper] Le Sun | Xianpei Han, ACL-short-2014.

8. Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
   [paper]
   Thien Huu Nguyen | Ralph Grishman, ACL-short-2014.

9. Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction
   [paper]
   Xianpei Han | Le Sun, ACL-short-2014.

10. Infusion of Labeled Data into Distant Supervision for Relation Extraction
    [paper]
    Maria Pershina | Bonan Min | Wei Xu | Ralph Grishman, ACL-short-2014.

11. Combining Distant and Partial Supervision for Relation Extraction
    [paper][code]
    Gabor Angeli | Julie Tibshirani | Jean Wu | Christopher D. Manning, EMNLP-2014.

12. Typed Tensor Decomposition of Knowledge Bases for Relation Extraction
    [paper]
    Kai-Wei Chang | Wen-tau Yih | Bishan Yang | Christopher Meek, EMNLP-2014.

13. A convex relaxation for weakly supervised relation extraction
    [paper]
    Édouard Grave, EMNLP-2014.

14. ZORE: A Syntax-based System for Chinese Open Relation Extraction
    [paper][data]
    Likun Qiu | Yue Zhang, EMNLP-2014.

15. Type-Aware Distantly Supervised Relation Extraction with Linked Arguments
    [paper]
    Mitchell Koch | John Gilmer | Stephen Soderland | Daniel S. Weld, EMNLP-2014.

16. Noisy Or-based model for Relation Extraction using Distant Supervision
    [paper]
    Ajay Nagesh | Gholamreza Haffari | Ganesh Ramakrishnan, EMNLP-short-2014.

17. Ensemble-Based Medical Relation Classification
    [paper]
    Jennifer D’Souza | Vincent Ng, Coling-2014.

18. Exploratory Relation Extraction in Large Text Corpora
    [[paper](Exploratory Relation Extraction in Large Text Corpora)]
    Alan Akbik | Thilo Michael | Christoph Boden, Coling-2014.

19. Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction
    [paper]
    Yang Liu | Kang Liu | Liheng Xu | Jun Zhao, Coling-2014.

20. Relation Classification via Convolutional Deep Neural Network
    [paper]
    Daojian Zeng | Kang Liu | Siwei Lai | Guangyou Zhou | Jun Zhao, Coling-2014.

2013-NER

1. Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition
   [paper]
   Mengqiu Wang | Wanxiang Che | Christopher D. Manning, ACL-2013.

2. Named Entity Recognition with Bilingual Constraints
   [paper]
   Wanxiang Che | Mengqiu Wang | Christopher D. Manning | Ting Liu， NAACL-2013.

2013-RE

1. Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction
   [paper]
   Barbara Plank | Alessandro Moschitti, ACL-2013.

2. Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction
   [paper]
   Wei Xu | Raphael Hoffmann | Le Zhao | Ralph Grishman, ACL-short-2013.

3. Unsupervised Relation Extraction with General Domain Knowledge
   [paper]
   Oier Lopez de Lacalle | Mirella Lapata, EMNLP-2013.

4. Effectiveness and Efficiency of Open Relation Extraction
   [paper]
   Filipe Mesquita | Jordan Schmidek | Denilson Barbosa, EMNLP-2013.

5. Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction
   [paper] Jason Weston | Antoine Bordes | Oksana Yakhnenko | Nicolas Usunier, EMNLP-short-2013.

6. Simple Customization of Recursive Neural Networks for Semantic Relation Classification
   [paper]
   Kazuma Hashimoto | Makoto Miwa | Yoshimasa Tsuruoka | Takashi Chikayama, EMNLP-short-2013.

7. Relation Extraction with Matrix Factorization and Universal Schemas
   [paper]
   Sebastian Riedel | Limin Yao | Andrew McCallum | Benjamin M. Marlin, NAACL-2013.

8. Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction
   [paper]
   Md. Faisal Mahbub Chowdhury | Alberto Lavelli, NAACL-short-2013.

9. Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times
   [paper]
   Joel Lang | James Henderson, NAACL-short-2013.

10. Distant Supervision for Relation Extraction with an Incomplete Knowledge Base
    [paper]
    Bonan Min | Ralph Grishman | Li Wan | Chang Wang | David Gondek, NAACL-short-2013.

2012-NER

1. Joint Inference of Named Entity Recognition and Normalization for Tweets
   [paper]
   Xiaohua Liu | Ming Zhou | Xiangyang Zhou | Zhongyang Fu | Furu Wei, ACL-2012.

2. Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia
   [paper]
   Sungchul Kim | Kristina Toutanova | Hwanjo Yu, ACL-2012.

3. SpeedRead: A Fast Named Entity Recognition Pipeline
   [paper]
   Rami Al-Rfou’ | Steven Skiena, Coling-2012.

4. A Pipeline Arabic Named Entity Recognition using a Hybrid Approach
   [paper]
   Mai Oudah | Khaled Shaalan, Coling-2012.

5. Initial Explorations on using CRFs for Turkish Named Entity Recognition
   [paper]
   Gökhan Akın Şeker | Gülşen Eryiğit, Coling-2012.

6. Differential Evolution Based Feature Selection and Classifier Ensemble for Named Entity Recognition
   [paper]
   Utpal Kumar Sikdar | Asif Ekbal | Sriparna Saha, Coling-2012.

7. Named Entity Recognition System for Urdu
   [paper]
   UmrinderPal Singh | Vishal Goyal | Gurpreet Singh Lehal, Coling-2012.

8. Fine-Grained Classification of Named Entities by Fusing Multi-Features
   [paper]
   Wenjie Li | Jiwei Li | Ye Tian | Zhifang Sui, Coling-short-2012.

9. HYENA: Hierarchical Type Classification for Entity Names
   [paper]
   Mohamed Amir Yosef | Sandro Bauer | Johannes Hoffart | Marc Spaniol | Gerhard Weikum, Coling-short-2012.

2012-RE

1. Temporally Anchored Relation Extraction
   [paper]
   Guillermo Garrido | Anselmo Peñas | Bernardo Cabaleiro | Álvaro Rodrigo, ACL-2012.

2. Reducing Wrong Labels in Distant Supervision for Relation Extraction
   [paper]
   Shingo Takamatsu | Issei Sato | Hiroshi Nakagawa, ACL-2012.

3. A Graph-based Cross-lingual Projection Approach for Weakly Supervised Relation Extraction
   [paper]
   Seokhwan Kim | Gary Geunbae Lee, ACL-short-2012.

4. Pattern Learning for Relation Extraction with a Hierarchical Topic Model
   [paper]
   Enrique Alfonseca | Katja Filippova | Jean-Yves Delort | Guillermo Garrido, ACL-short-2012.

5. Multi-instance Multi-label Learning for Relation Extraction
   [paper]
   Mihai Surdeanu | Julie Tibshirani | Ramesh Nallapati | Christopher D. Manning, EMNLP-2012.

6. Ensemble Semantics for Large-scale Unsupervised Relation Extraction
   [paper]
   Bonan Min | Shuming Shi | Ralph Grishman | Chin-Yew Lin, EMNLP-2012.

7. Unsupervised Discovery of Relations and Discriminative Extraction Patterns
   [paper]
   Alan Akbik | Larysa Visengeriyeva | Priska Herger | Holmer Hemsen | Alexander Löser, Coling-2012.

8. Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations
   [paper]
   Jun-Ping Ng | Min-Yen Kan, Coling-2012.

9. Impact of Less Skewed Distributions on Efficiency and Effectiveness of Biomedical Relation Extraction
   [paper]
   Md. Faisal Mahbub Chowdhury | Alberto Lavelli, Coling-short-2012.

10. Relation Classification using Entity Sequence Kernels
    [paper]
    Debanjan Ghosh | Smaranda Muresan, Coling-short-2012.

2011-NER

1. Recognizing Named Entities in Tweets
   [paper]
   Xiaohua Liu | Shaodian Zhang | Furu Wei | Ming Zhou, ACL-2011.

2. Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition
   [paper]
   Stefan Rüd | Massimiliano Ciaramita | Jens Müller | Hinrich Schützel, ACL-2011.

3. Named Entity Recognition in Tweets: An Experimental Study
   [paper]
   Alan Ritter | Sam Clark | Mausam | Oren Etzioni, EMNLP-2011.

4. Bootstrapped Named Entity Recognition for Product Attribute Extraction
   [paper]
   Duangmanee Putthividhya | Junling Hu, EMNLP-2011.

2011-RE

1. Semi-supervised Relation Extraction with Large-scale Word Clustering
   [paper]
   Ang Sun | Ralph Grishman | Satoshi Sekine, ACL-2011.

2. In-domain Relation Discovery with Meta-constraints via Posterior Regularization
   [paper]
   Harr Chen | Edward Benson | Tahira Naseem | Regina Barzilay, ACL-2011.

3. Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
   [paper]
   Raphael Hoffmann | Congle Zhang | Xiao Ling | Luke Zettlemoyer | Daniel S. Weld, ACL-2011.

4. Exploiting Syntactico-Semantic Structures for Relation Extraction
   [paper]
   Yee Seng Chan | Dan Roth, ACL-2011.

5. End-to-End Relation Extraction Using Distant Supervision from External Semantic Repositories
   [paper]
   Truc-Vien T. Nguyen | Alessandro Moschitti, ACL-short-2011.

6. Relation Extraction with Relation Topics
   [paper]
   Chang Wang | James Fan | Aditya Kalyanpur | David Gondek, EMNLP-2011.

7. Structured Relation Discovery using Generative Models
   [paper]
   Limin Yao | Aria Haghighi | Sebastian Riedel | Andrew McCallum, EMNLP-2011.

8. Identifying Relations for Open Information Extraction
   [paper]
   Anthony Fader | Stephen Soderland | Oren Etzioni, EMNLP-2011.

2010-NER

1. Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data [paper]
   Jenny Rose Finkel | Christopher D. Manning, ACL-2010.

2. Arabic Named Entity Recognition: Using Features Extracted from Noisy Data
   [paper]
   Yassine Benajiba | Imed Zitouni | Mona Diab | Paolo Rosso, ACL-short-2010.

3. Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
   [paper]
   Laura Chiticariu | Rajasekar Krishnamurthy | Yunyao Li | Frederick Reiss | Shivakumar Vaithyanathan, EMNLP-2010.

4. Open Entity Extraction from Web Search Query Logs
   [paper]
   Alpa Jain | Marco Pennacchiotti, Coling-2010.

5. Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine [paper]
   Son Doan | Hua Xu, Coling-2010.

6. Kernel-based Reranking for Named-Entity Extraction
   [paper]
   Truc-Vien T. Nguyen | Alessandro Moschitti | Giuseppe Riccardi, Coling-2010.

7. Minimally-Supervised Extraction of Entities from Text Advertisements
   [paper]
   Sameer Singh | Dustin Hillard | Chris Leggetter, NAACL-2010.

2010-RE

1. Learning 5000 Relational Extractors
   [paper]
   Raphael Hoffmann | Congle Zhang | Daniel S. Weld, ACL-2010.

2. Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
   [paper]
   Longhua Qian | Guodong Zhou, EMNLP-2010.

3. Collective Cross-Document Relation Extraction Without Labelled Data
   [paper]
   Limin Yao | Sebastian Riedel | Andrew McCallum, EMNLP-2010.

4. Constraints Based Taxonomic Relation Classification
   [paper]
   Quang Do | Dan Roth, EMNLP-2010.

5. Self-Annotation for fine-grained geospatial relation extraction
   [paper]
   Andre Blessing | Hinrich Schütze, Coling-2010.

6. Exploiting Background Knowledge for Relation Extraction
   [paper]
   Yee Seng Chan | Dan Roth, Coling-2010.

7. A Cross-lingual Annotation Projection Approach for Relation Detection
   [paper]
   Seokhwan Kim | Minwoo Jeong | Jonghoon Lee | Gary Geunbae Lee, Coling-2010.

8. Boosting Relation Extraction with Limited Closed-World Knowledge
   [paper]
   Feiyu Xu | Hans Uszkoreit | Sebastian Krause | Hong Li, Coling-2010.

###Joint extraction

1. Entity-Relation Extraction as Multi-Turn Question Answering
   [paper]
   Xiaoya Li | Fan Yin | Zijun Sun | Xiayu Li | Arianna Yuan | Duo Chai | Mingxin Zhou | Jiwei Li. ACL-2019.

2. GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
   [paper]
   Tsu-Jui Fu | Peng-Hsuan Li | Wei-Yun Ma. ACL-2019.

3. Entity, Relation, and Event Extraction with Contextualized Span Representations
   [paper][code]
   David Wadden | Ulme Wennberg | Yi Luan | Hannaneh Hajishirzi, EMNLP-short-2019.

4. Cross-lingual Structure Transfer for Relation and Event Extraction
   [paper]
   Ananya Subburathinam | Di Lu | Heng Ji | Jonathan May | Shih-Fu Chang | Avirup Sil | Clare Voss, EMNLP-2019.

5. Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
   [paper]
   Rujun Han | Qiang Ning | Nanyun Peng, EMNLP-2019.

6. Multilingual Entity, Relation, Event and Human Value Extraction
   [paper][code]
   Manling Li | Ying Lin | Joseph Hoover | Spencer Whitehead | Clare Voss | Morteza Dehghani | Heng Ji, NAACL-demo-2019.

7. Adversarial training for multi-context joint entity and relation extraction
   [paper][code]
   Giannis Bekoulis | Johannes Deleu | Thomas Demeester | Chris Develder, EMNLP-2018.

8. Extracting Entities and Relations with Joint Minimum Risk Training
   [paper][code]
   Changzhi Sun | Yuanbin Wu | Man Lan | Shiliang Sun | Wenting Wang | Kuang-Chih Lee | Kewen Wu, EMNLP-2018.

9. Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees
   [paper]
   Arzoo Katiyar | Claire Cardie, ACL-2017.

10. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
    [paper]
    Suncong Zheng | Feng Wang | Hongyun Bao | Yuexing Hao | Peng Zhou | Bo Xu, ACL-2017.

11. Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
    [paper][code]
    Heike Adel | Hinrich Schütze, EMNLP-short-2017.

12. Investigating LSTMs for Joint Extraction of Opinion Entities and Relations
    [paper]
    Arzoo Katiyar | Claire Cardie, ACL-2016.

13. Extracting Spatial Entities and Relations in Korean Text
    [paper]
    Bogyum Kim | Jae Sung Lee, Coling-short-2016.

14. Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
    [paper]
    Pankaj Gupta | Hinrich Schütze | Bernt Andrassy, Coling-2016.

15. Joint Extraction of Events and Entities within a Document Context
    [paper][code]
    Bishan Yang | Tom M. Mitchell, NAACL-2016.

16. Incremental Joint Extraction of Entity Mentions and Relations
    [paper]
    Qi Li | Heng Ji, ACL-2014.

17. Modeling Joint Entity and Relation Extraction with Table Representation
    [paper]
    Makoto Miwa | Yutaka Sasaki, EMNLP-2014.

18. Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach
    [paper]
    Xiaofeng Yu | Wai Lam, Coling-2010.